Mathematical models are often used to simplify landform representation. Its importance is due to the possibility of describing phenomena by means of mathematical models from a data sample. High processing power is needed to represent large areas with a satisfactory level of details. In order to accelerate the solution of complex problems, it is necessary to combine two basic components in heterogeneous systems formed by a multicore with one or more GPUs. In this paper, we present a methodology to represent landform attributes on heterogeneous multicore and multi-GPU systems using high performance computing techniques for efficient solution of two-dimensional polynomial regression model that allow to address large problem instances. © 2012 Published by Elsevier Ltd.
Boratto, M., Alonso, P., Ramiro, C., & Barreto, M. (2012). Heterogeneous computational model for landform attributes representation on multicore and multi-GPU systems. In Procedia Computer Science (Vol. 9, pp. 47–56). Elsevier B.V. https://doi.org/10.1016/j.procs.2012.04.006